Analysis of noise reduction in redundant expansions under distributed processing requirements

被引：0
|
作者：
Rozell, CJ [1 ]
Johnson, DH [1 ]
机构：
[1] Rice Univ, Dept Elect & Comp Engn, Houston, TX 77251 USA
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We considered signal reconstruction with redundant expansions under distributed processing in noisy environments. Redundant expansions have the ability to reduce noise corrupting the coefficients, but distributed processing schemes will not be able to take full advantage of the redundancy present. We apply frame theory and a generalization called "frames of subspaces" to find conditions when distributed reconstruction suffers no loss in noise reduction ability, and we bound performance loss in more general cases.
引用
收藏
页码：185 / 188
页数：4
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